Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation

Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes a novel approach by using a cograph regulariz...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Juli Zhang, Zhanzhuang He, Junyi Zhang, Tao Dai
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2019-01-01
Sarja:	IEEE Access
Aiheet:	Image annotation nonnegative matrix factorization collective nonnegative matrix factorization semantic gap convolutional neural networks
Linkit:	https://ieeexplore.ieee.org/document/8752437/
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